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IJCV
2008
188views more  IJCV 2008»
13 years 9 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin
IROS
2007
IEEE
162views Robotics» more  IROS 2007»
14 years 3 months ago
Genetic MRF model optimization for real-time victim detection in search and rescue
— One primary goal in rescue robotics is to deploy a team of robots for coordinated victim search after a disaster. This requires robots to perform subtasks, such as victim detec...
Alexander Kleiner, Rainer Kümmerle
ICPR
2002
IEEE
14 years 10 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
ATAL
2006
Springer
14 years 19 days ago
Evaluating a computational model of social causality and responsibility
Intelligent agents are typically situated in a social environment and must reason about social cause and effect. Such reasoning is qualitatively different from physical causal rea...
Wenji Mao, Jonathan Gratch
ATVA
2006
Springer
123views Hardware» more  ATVA 2006»
14 years 19 days ago
Symmetry Reduction for Probabilistic Model Checking Using Generic Representatives
Generic representatives have been proposed for the effective combination of symmetry reduction and symbolic representation with BDDs in non-probabilistic model checking. This appro...
Alastair F. Donaldson, Alice Miller